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Artificial Intelligence, Machine Learning, and Related Topics
Application of machine learning approaches to identify new anticonvulsant compounds active in the 6 Hz seizure model
Motor Learning and Machine Learning: predicting the amount of sessions to learn the tracing task
Kernel-spectral-clustering-driven motion segmentation: Rotating-objects first trials
A New Granular Approach for Multivariate Forecasting
Interactive analysis of the discussion from a virtual community on neuroscience
Complex systems and complex Networks
Influence of the contact network topology on the spread of tuberculosis
Computational Neuroscience of Learning and Memory
Association between fast and slow learning and molecular processes in repetitive practice: a post hoc analysis
Reading Span Test for Brazilian Portuguese: An eye-tracking implementation
Neural Signal Processing
Multi-harmonic analysis using magnitude-squared coherence and its application to detection of auditory steady-state responses
EEG Classification of Epileptic Patients Based on Signal Morphology
Epileptiform spike detection in electroencephalographic recordings of epilepsy animal models using variable threshold
Graph Model Evolution During Epileptic Seizures: linear model approach
Software and Hardware Implementations in Neuroscience
A parallel RatSlam C++ library implementation
Method for the Improvement of Knee Kinematics Accuracy based on Kinect and Sensors: Preliminary Results
Eye-tracking data analysis during cognitive task
Brain-computer Interfaces and Neurostimulation
Towards a roadmap for machine learning and EEG-based brain computer interface
Considerations on the individualization of motor imagery Neurofeedback training
The muscle-machine interface after stroke in improvement of hand extension: Case report
Electrographic spectral signatures of animals submitted to pentylenetetrazole-induced seizures and treated with bilateral asynchronous non-periodic stimulation
Seizure Prediction
On the validity of using probing stimuli for seizure prediction in the Epileptor model.
Application of machine learning approaches to identify new anticonvulsant compounds active in the 6 Hz seizure model
Motor Learning and Machine Learning: predicting the amount of sessions to learn the tracing task
Kernel-spectral-clustering-driven motion segmentation: Rotating-objects first trials
A New Granular Approach for Multivariate Forecasting
Interactive analysis of the discussion from a virtual community on neuroscience
Complex systems and complex Networks
Influence of the contact network topology on the spread of tuberculosis
Computational Neuroscience of Learning and Memory
Association between fast and slow learning and molecular processes in repetitive practice: a post hoc analysis
Reading Span Test for Brazilian Portuguese: An eye-tracking implementation
Neural Signal Processing
Multi-harmonic analysis using magnitude-squared coherence and its application to detection of auditory steady-state responses
EEG Classification of Epileptic Patients Based on Signal Morphology
Epileptiform spike detection in electroencephalographic recordings of epilepsy animal models using variable threshold
Graph Model Evolution During Epileptic Seizures: linear model approach
Software and Hardware Implementations in Neuroscience
A parallel RatSlam C++ library implementation
Method for the Improvement of Knee Kinematics Accuracy based on Kinect and Sensors: Preliminary Results
Eye-tracking data analysis during cognitive task
Brain-computer Interfaces and Neurostimulation
Towards a roadmap for machine learning and EEG-based brain computer interface
Considerations on the individualization of motor imagery Neurofeedback training
The muscle-machine interface after stroke in improvement of hand extension: Case report
Electrographic spectral signatures of animals submitted to pentylenetetrazole-induced seizures and treated with bilateral asynchronous non-periodic stimulation
Seizure Prediction
On the validity of using probing stimuli for seizure prediction in the Epileptor model.